I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
A Contactless Breathing Pattern Recognition System Using De..:
Fan, Dou
;
Yang, Xiaodong
;
Zhao, Nan
...
IEEE Internet of Things Journal. 11 (2024) 13 - p. 23820-23834 , 2024
Link:
https://doi.org/10.1109/jiot.2024.3386645
RT Journal T1 <Title>A Contactless Breathing Pattern Recognition System Using Deep Learning and WiFi Signal</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_jiot.2024.3386645&Exemplar=1&LAN=DE A1 Fan, Dou A1 Yang, Xiaodong A1 Zhao, Nan A1 Guan, Lei A1 Arslan, Malik Muhammad A1 Ullah, Muneeb A1 Imran, Muhammad Ali A1 Abbasi, Qammer H. PB Institute of Electrical and Electronics Engineers (IEEE) YR 2024 SN 2327-4662 SN 2372-2541 JF IEEE Internet of Things Journal VO 11 IS 13 SP 23820 OP 23834 LK http://dx.doi.org/https://doi.org/10.1109/jiot.2024.3386645 DO https://doi.org/10.1109/jiot.2024.3386645 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
